
6-DoF localization uncertainty for autonomous underwater vehicles
Our research focus on risk reduction in autonomous systems by associating Deep Learning (DL) predictions with the inherent model and data uncertainty.
Our research focus on risk reduction in autonomous systems by associating Deep Learning (DL) predictions with the inherent model and data uncertainty.
Develop at line and inline measurement systems for optimizing the fabrication process of Anisotropic Conductive Film.
The goal of the BOOST project has been to develop, implement and test a primary school-based approach to social and emotional learning (SEL), focusing on organizational development and development of school staff. This has been done in close...
This project will make composite products more economically competitive, safer and more sustainable by addressing two shortcomings of composite products. 1) By developing methods for damage detection, we can increase safety and product lifetime...
Evidence Based Big Data Benchmarking to Improve Business Performance
We will enable scalability in number of robust high-quality assays to be developed for SpinChip's diagnostics platform by combining microfluidic simulations, advanced computer vision and state-of-the-art machine learning.
By developing a smart 3D camera mounted on the trawl opening, we will be able to report quantity, size and species of fish entering the trawl. This can be used to optimize the catch to make trawl fishing more sustainable.
There are significant resources of wind power in areas where few people live, and which cannot be exploited due to a weak grid. A solution is to produce hydrogen and export it.
Kongsberg Digital is leading the way towards the digitalized energy system of the future with its KogniGrid project.